一种高超星图高精度半盲复原算法

A semi-blind restoration algorithm of a hypersonic star image based on the regularization method is proposed, which can be used in the celestial navigation of a hypersonic vehicle disturbed by the aero-optical effect and motion blur in order to solve the problem of the star recognition and navigation accuracy. In the algorithm, the pre-processing operations are carried out firstly, such as denoising and star-point initilal extration depend on the characteristics of hypersonic star images. The useful imformation of kernel is extracted from image and fused to denoise the kernel. Based on the sparse prior of both the gray image and its gradient of the star image, a regularized nonblind restoration model for a hypersonic star image is proposed to estimate the clear image with the help of the Bregman iterative algorithm. The algorithm is compared with the traditional star image restoration algorithm and the other state-of-art regularization restoration algorithms in experiments. The results show that the proposed algorithm has the best recovery ability, which can obviously improve the accuracy of star recognition. Thus, it can be used to greatly improve the adaptability and accuracy of the celestial navigation of a supersonic vehicle in the stratosphere.